course/pr_1021/tr/_app/immutable/nodes/6.225bfc2a.js

import{s as X,n as I,o as J}from"../chunks/scheduler.df3b9db7.js";import{S as K,i as V,g as o,s as r,r as D,E as W,h as m,f as l,c as i,j as O,u as j,x,k as Q,y as Z,a as n,v as z,d as G,t as S,w as q}from"../chunks/index.b70c3ab0.js";import{Y as ee}from"../chunks/Youtube.4beebb9d.js";import{C as te}from"../chunks/CourseFloatingBanner.690209cd.js";import{H as le,E as ne}from"../chunks/getInferenceSnippets.53431dbf.js";function re(R){let a,v,_,C,s,w,f,k,u,P,p,U="Decoder modeller, yalnızca bir Transformer modelinin decoderini kullanır. Her aşamada, attention katmanları sadece cümlede kendisinden önce gelen kelimelere erişebilir. Bu modeller <em>auto-regressive models</em> olarak isimlendirilir.",T,d,Y="Decoder modellerin ön eğitimi genellikle cümledeki bir sonraki kelimeyi tahmin etme şeklinde görevlendirilir.",y,c,A="Bu modeller, en çok metin oluşturmayı içeren görevler için uygundur.",L,$,F="Bu model ailelerinin temsilcileri şunları kapsar:",E,g,N='<li><a href="https://huggingface.co/transformers/model_doc/ctrl.html" rel="nofollow">CTRL</a></li> <li><a href="https://huggingface.co/docs/transformers/model_doc/openai-gpt" rel="nofollow">GPT</a></li> <li><a href="https://huggingface.co/transformers/model_doc/gpt2.html" rel="nofollow">GPT-2</a></li> <li><a href="https://huggingface.co/transformers/model_doc/transformerxl.html" rel="nofollow">Transformer XL</a></li>',H,h,M,b,B;return s=new le({props:{title:"Decoder modelleri",local:"decoder-modelleri",headingTag:"h1"}}),f=new te({props:{chapter:1,classNames:"absolute z-10 right-0 top-0"}}),u=new ee({props:{id:"d_ixlCubqQw"}}),h=new ne({props:{source:"https://github.com/huggingface/course/blob/main/chapters/tr/chapter1/6.mdx"}}),{c(){a=o("meta"),v=r(),_=o("p"),C=r(),D(s.$$.fragment),w=r(),D(f.$$.fragment),k=r(),D(u.$$.fragment),P=r(),p=o("p"),p.innerHTML=U,T=r(),d=o("p"),d.textContent=Y,y=r(),c=o("p"),c.textContent=A,L=r(),$=o("p"),$.textContent=F,E=r(),g=o("ul"),g.innerHTML=N,H=r(),D(h.$$.fragment),M=r(),b=o("p"),this.h()},l(e){const t=W("svelte-u9bgzb",document.head);a=m(t,"META",{name:!0,content:!0}),t.forEach(l),v=i(e),_=m(e,"P",{}),O(_).forEach(l),C=i(e),j(s.$$.fragment,e),w=i(e),j(f.$$.fragment,e),k=i(e),j(u.$$.fragment,e),P=i(e),p=m(e,"P",{"data-svelte-h":!0}),x(p)!=="svelte-6g4wsb"&&(p.innerHTML=U),T=i(e),d=m(e,"P",{"data-svelte-h":!0}),x(d)!=="svelte-kbub0j"&&(d.textContent=Y),y=i(e),c=m(e,"P",{"data-svelte-h":!0}),x(c)!=="svelte-7o5sg9"&&(c.textContent=A),L=i(e),$=m(e,"P",{"data-svelte-h":!0}),x($)!=="svelte-xa8928"&&($.textContent=F),E=i(e),g=m(e,"UL",{"data-svelte-h":!0}),x(g)!=="svelte-jabf5n"&&(g.innerHTML=N),H=i(e),j(h.$$.fragment,e),M=i(e),b=m(e,"P",{}),O(b).forEach(l),this.h()},h(){Q(a,"name","hf:doc:metadata"),Q(a,"content",ie)},m(e,t){Z(document.head,a),n(e,v,t),n(e,_,t),n(e,C,t),z(s,e,t),n(e,w,t),z(f,e,t),n(e,k,t),z(u,e,t),n(e,P,t),n(e,p,t),n(e,T,t),n(e,d,t),n(e,y,t),n(e,c,t),n(e,L,t),n(e,$,t),n(e,E,t),n(e,g,t),n(e,H,t),z(h,e,t),n(e,M,t),n(e,b,t),B=!0},p:I,i(e){B||(G(s.$$.fragment,e),G(f.$$.fragment,e),G(u.$$.fragment,e),G(h.$$.fragment,e),B=!0)},o(e){S(s.$$.fragment,e),S(f.$$.fragment,e),S(u.$$.fragment,e),S(h.$$.fragment,e),B=!1},d(e){e&&(l(v),l(_),l(C),l(w),l(k),l(P),l(p),l(T),l(d),l(y),l(c),l(L),l($),l(E),l(g),l(H),l(M),l(b)),l(a),q(s,e),q(f,e),q(u,e),q(h,e)}}}const ie='{"title":"Decoder modelleri","local":"decoder-modelleri","sections":[],"depth":1}';function ae(R){return J(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class pe extends K{constructor(a){super(),V(this,a,ae,re,X,{})}}export{pe as component};